All of this means that companies need to collect, manage and report data, sometimes in vast quantities. This information can come from a range of sources, including monitoring carried out by employees, consultants, contractors and analytical laboratories.
Furthermore, while there have been many advances in monitoring and logging data, analysis and reporting are often laborious tasks that are carried out in Microsoft Excel or similar software.
This brings a whole range of problems, including:
- How do managers know they are on top of all of their monitoring and data collection?
- How can companies easily judge performance and compliance (eg with permit thresholds)?
- How can data be shared?
- How can organisations regularly and efficiently produce their reports for internal or external stakeholders?
- How can users view historical trends in data over many years?
- Can users defend their data and audit it? n How much time does all of this take?
- How many errors are in the system?
Many companies spend a good deal of money on data collection and collation; in some cases up to US$350,000 at a single site. Yet they are not able to capture the full value.
This can result in staff working inefficiently crunching numbers, reporting is often late and the system becomes error-prone, damaging relationships with regulators and other stakeholders.
EHS Data has been providing specialist software tools to help with data management for 15 years and now provide systems to a variety of sectors, including mining companies, around the world.
These systems enable data to be managed in a secure, auditable environment, bringing significant benefits to clients.
Over the years the data-management task has grown and changed drastically in terms of volume. An increase in complexity has also arisen as companies need to collate and report data in different ways, for different purposes and across different geographical and language barriers. Without specialist tools these processes can become burdensome.
Within these rapidly changing circumstances, specialised data-management tools bring opportunities to reduce costs, strengthen relationships with stakeholders, reduce risk and, at the same time, improve environmental performance.